code: def __init__(self, depth, n_features, norm="batch"):
      super(HourGlass, self).__init__()
      self.depth = depth
      self.features = n_features
      self.norm = norm
  
      self._generate_network(self.depth)
  
file_path: pifuhd/lib/model/HGFilters.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from ..net_util import conv3x3
label_desc: Use image node_id 1 to create a new HourGlass object from inherited base classes: nn with example: obj = HourGlass(depth, n_features, norm)